Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal JT-IBSI (Jurnal Teknik Ibnu Sina) Journal of Manufacturing in Industrial Engineering & Technology
Rafi Dio
Universitas Maritim Raja Ali Haji
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Public Health Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Segmentasi Pelanggan Klinik Dokter Hewan Berbasis Algoritma K-Means dan Model RFM Rafi Dio; Meylia Vivi Putri; Dwila Sempi Yusiani; Andikha; Berta Erwin SLAM; Adyk Marga Raharja; Rifaldi Herikson
Jurnal Teknik Ibnu Sina (JT-IBSI) Vol. 10 No. 1 (2025): JT-IBSI (Jurnal Teknik Ibnu Sina)
Publisher : Fakultas Teknik Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jt-ibsi.v10i1.1180

Abstract

This study aims to segment customers of a veterinary clinic using a combination of Recency, Frequency, Monetary (RFM) analysis and the K-Means clustering algorithm. Transactional data from December 2024 to April 2025 were processed to generate key customer features, followed by min-max normalization to ensure comparability across variables. The segmentation was conducted in AI Studio 2025, with cluster quality evaluated using cluster distance performance and Davies-Bouldin Index. The analysis resulted in four distinct customer segments: the majority were passive customers with low transaction frequency and spending, while a smaller group showed high purchasing activity and made a significant economic contribution. This study demonstrates the effectiveness of automated data mining tools in uncovering meaningful customer profiles in a veterinary service context. The results provide a practical basis for targeted marketing, customer retention strategies, and service improvement in veterinary clinics. This approach offers valuable insights for data-driven decision making and represents a novelty for veterinary service management in Indonesia. Keywords: Customer Segmentation, RFM Analysis, K-Means Clustering, Veterinary Clinic, Data Mining.
The The Effectiveness of Physics Practicum Simulations for First-Year University Students: Efektivitas Simulasi Praktikum Fisika pada Mahasiswa Tahun Pertama Dwila Sempi Yusiani; Meylia Vivi Putri; Rafi Dio
Jurnal Teknik Ibnu Sina (JT-IBSI) Vol. 10 No. 1 (2025): JT-IBSI (Jurnal Teknik Ibnu Sina)
Publisher : Fakultas Teknik Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/jt-ibsi.v10i1.1181

Abstract

The lack of laboratory facilities in the Industrial Engineering program poses challenges for conducting physics practicums. Practicum is an essential component of learning as it enhances conceptual understanding and student motivation. This study aims to determine the effectiveness of using PhET Simulation as a virtual laboratory tool to support student understanding of Hooke’s Law. A quantitative method was used with a one-group pretest-posttest design involving 31 first-year students. Data were collected through pretest and posttest assessments, and analyzed using descriptive statistics and N-Gain calculation. The results show an increase in the average score from pretest to posttest, with an N-Gain score of 0.36, categorized as moderate. These findings suggest that PhET Simulation is fairly effective in enhancing physics learning through visual and interactive approaches, especially in limited laboratory conditions. This study contributes to the development of technology-based learning media that can be implemented flexibly in higher education.
Pengendalian Kualitas Produk Batu Bata Melalui Pendekatan Six Sigma pada UMKM XYZ di Aceh Besar Adyk Marga Raharja; Riski Arifin; Rafi Dio; Septi Ayu Angrayni
Journal of Manufacturing in Industrial Engineering & Technology Vol 5 No 1 (2026): Vol 5 No 1 (2026): Journal of Manufacturing in Industrial Engineering & Technolog
Publisher : Universitas Muhammadiyah Surabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/mine-tech.v5i1.31408

Abstract

Penelitian ini bertujuan untuk mengendalikan dan meningkatkan kualitas produksi batu bata pada UMKM XYZ di Aceh Besar dengan menggunakan metode Six Sigma melalui tahapan DMAIC (Define, Measure, Analyze, Improve, Control). Data yang digunakan berupa data produksi dan jumlah cacat selama periode Januari 2025 hingga Maret 2026. Hasil penelitian menunjukkan bahwa tingkat cacat rata-rata sebesar 3,83% dengan nilai Defects Per Million Opportunities (DPMO) berkisar antara 9.422–9.865 dan level sigma sebesar 3,84, yang menunjukkan bahwa kapabilitas proses masih berada pada tingkat menengah. Analisis menggunakan diagram fishbone mengidentifikasi bahwa penyebab utama cacat berasal dari faktor metode, manusia, material, dan mesin. Jenis cacat dominan yang ditemukan meliputi retak, patah, cacat bentuk, dan gosong. Usulan perbaikan difokuskan pada penyusunan dan penerapan SOP, peningkatan kualitas bahan baku, pelatihan tenaga kerja, serta perawatan dan kalibrasi mesin. Tahap control dilakukan untuk memastikan perbaikan berjalan secara konsisten melalui pengawasan dan evaluasi berkala. Hasil penelitian menunjukkan bahwa metode Six Sigma efektif dalam mengidentifikasi penyebab cacat dan memberikan dasar perbaikan kualitas proses produksi.
Co-Authors Adyk Marga Raharja Andikha Berta Erwin SLAM Dwila Sempi Yusiani Dwila Sempi Yusiani Meylia Vivi Putri Meylia Vivi Putri Rifaldi Herikson Riski Arifin Septi Ayu Angrayni